Subject Matter Expert
About the role
Subject Matter Expert focused on quality evaluation and standards definition within assigned projects. Provides high-value insights through audits, quality frameworks, and performance analysis without contributor management, real-time support, or operational task coordination.
Responsibilities
- Conduct structured audits of task outputs to evaluate accuracy, consistency, and adherence to project guidelines.
- Apply domain expertise to assess nuanced or complex work requiring specialized knowledge.
- Identify patterns of quality issues and flag systemic gaps impacting output standards.
- Define and refine quality benchmarks, scoring rubrics, and evaluation criteria based on project needs.
- Contribute to the development of gold standards and reference materials for high-quality outputs.
- Ensure quality frameworks reflect domain-specific rigor where applicable.
- Analyze audit results to generate actionable insights on quality trends and performance gaps.
- Provide structured reports with clear recommendations to improve overall output quality.
- Partner with internal stakeholders to calibrate on quality expectations and scoring consistency.
- Recommend improvements to workflows, guidelines, and evaluation processes based on audit findings.
- Support calibration efforts to ensure alignment across reviewers and quality stakeholders.
- Contribute to continuous improvement initiatives strictly related to quality outcomes.
Qualifications
- Deep domain expertise in a specialized field (e.g., medicine, law, engineering, etc.).
- Strong analytical skills with the ability to evaluate complex outputs against defined standards.
- Experience in quality assurance, auditing, or evaluation frameworks is preferred.
- Ability to produce clear, structured, and actionable feedback.
- High attention to detail and commitment to accuracy and consistency.
Skills

About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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